{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preprocessing gene expression from TCGA\n",
    "In this notebook, I want to compute a matrix $S \\in \\mathbb{R}^{p \\times s}$ where $s$ is the number of samples and $p$ is the number of genes. In a second step, I want to use information about the cancer type of each of the samples to aggregate the matrix to a different matrix $S_{mean} \\in \\mathbb{R}^{p\\times c}$ where $c$ corresponds to the number of cancer types under investigation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sasse/.local/lib/python3.6/site-packages/h5py/__init__.py:34: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import h5py, os, sys\n",
    "import mygene\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rc('font', family='Times New Roman')\n",
    "import seaborn\n",
    "%matplotlib inline\n",
    "\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.manifold import TSNE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# PARAMETERS\n",
    "use_foldchanges = True\n",
    "max_reads = 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the downloaded Data to Dataframes\n",
    "I downloaded all the gene expression data from TCGA into one download directory. I now have to walk through that and load the contents to a dataframe.\n",
    "\n",
    "Then, I join all of the dataframes together to obtain $S$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collected 5946 gene expression files\n"
     ]
    }
   ],
   "source": [
    "def get_filenames(ge_dir):\n",
    "    \"\"\"Extract all valid gene expression files in dir.\n",
    "    \"\"\"\n",
    "    all_filenames = []\n",
    "    for dname in os.listdir(ge_dir):\n",
    "        sub_dirname = os.path.join(ge_dir, dname)\n",
    "        if os.path.isdir(sub_dirname):\n",
    "            for fname in os.listdir(sub_dirname):\n",
    "                if fname.endswith('.FPKM.txt.gz'):\n",
    "                    all_filenames.append(os.path.join(sub_dirname, fname))\n",
    "    print (\"Collected {} gene expression files\".format(len(all_filenames)))\n",
    "    return all_filenames\n",
    "\n",
    "names = get_filenames('../../data/pancancer/TCGA/expression/download/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "path_sample_matrix = '../../data/pancancer/TCGA/expression/sample_matrix_geneexpression.tsv'\n",
    "\n",
    "if not os.path.exists(path_sample_matrix):\n",
    "    all_dfs = []\n",
    "    for fname in names:\n",
    "        ge_df = pd.read_csv(fname, compression='gzip', sep='\\t', header=None, names=['ID', os.path.basename(fname)])\n",
    "        ge_df.set_index('ID', inplace=True)\n",
    "        all_dfs.append(ge_df)\n",
    "    print (\"Collected {} DataFrames corresponding to a RNA-seq experiment each\".format(len(all_dfs)))\n",
    "    sample_matrix = pd.concat(all_dfs, axis=1)\n",
    "    print (\"Concatenated experiments to obtain sample matrix of shape {}\".format(sample_matrix.shape))\n",
    "    sample_matrix.to_csv(path_sample_matrix, sep='\\t', compression='gzip')\n",
    "else:\n",
    "    print (\"Reading Data Matrix from disk...\")\n",
    "    sample_matrix = pd.read_csv(path_sample_matrix, sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "                   ID  6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz  \\\n",
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       "1   ENSG00000270112.3                                          0.000000   \n",
       "2  ENSG00000167578.15                                          4.295036   \n",
       "3   ENSG00000273842.1                                          0.000000   \n",
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       "\n",
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       "   b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz  \\\n",
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       "0                                          0.000000   \n",
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       "\n",
       "                         ...                         \\\n",
       "0                        ...                          \n",
       "1                        ...                          \n",
       "2                        ...                          \n",
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       "0                                          0.025213   \n",
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       "0                                          0.000000   \n",
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       "0                                          0.000000   \n",
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       "\n",
       "   46c4b927-c29c-4dbe-90a4-a493c37188df.FPKM.txt.gz  \\\n",
       "0                                          0.000000   \n",
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       "   71550bf2-086d-46ac-aee3-958bbac2d2ab.FPKM.txt.gz  \\\n",
       "0                                          0.123045   \n",
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       "2                                          3.491212   \n",
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       "\n",
       "   d8f882f6-d25a-42dc-9444-02e1d8cb7608.FPKM.txt.gz  \\\n",
       "0                                          0.000000   \n",
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       "3                                          0.000000   \n",
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       "\n",
       "   ac32a9f2-e148-4e70-899e-78b8ae563839.FPKM.txt.gz  \\\n",
       "0                                          0.000000   \n",
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       "\n",
       "   c1ffe8f9-b01b-42c4-b49d-0ceba6cf19c9.FPKM.txt.gz  \n",
       "0                                          0.000000  \n",
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       "\n",
       "[5 rows x 5947 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_matrix.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((16150, 27), (5946, 9))"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fname_2_ctype = pd.read_json('../../data/pancancer/TCGA/expression/meta_tcga_data/files.2018-07-23.json')\n",
    "\n",
    "# extract cancer type and put it as extra column\n",
    "ctypes = [dict(i)['project']['project_id'].split('-')[1].strip() for i in fname_2_ctype.cases.str[0]]\n",
    "fname_2_ctype['cancertype'] = ctypes\n",
    "\n",
    "# extract case ID and put it as extra column\n",
    "case_ids = [dict(i)['case_id'] for i in fname_2_ctype.cases.str[0]]\n",
    "fname_2_ctype['case_ID'] = case_ids\n",
    "\n",
    "# now, join with sample file to get the TCGA barcodes (allows us to get some more information on tissue, normal or tumor etc)\n",
    "sample_info = pd.read_csv('../../data/pancancer/TCGA/expression/meta_tcga_data/sample.tsv', sep='\\t')\n",
    "sample_info.shape, fname_2_ctype.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>file_name</th>\n",
       "      <th>cancertype</th>\n",
       "      <th>case_ID</th>\n",
       "      <th>sample_id</th>\n",
       "      <th>sample_submitter_id</th>\n",
       "      <th>case_id</th>\n",
       "      <th>case_submitter_id</th>\n",
       "      <th>project_id</th>\n",
       "      <th>sample_type_id</th>\n",
       "      <th>tumor_code_id</th>\n",
       "      <th>tumor_code</th>\n",
       "      <th>tissue_type</th>\n",
       "      <th>sample_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ed4ae015-8f5e-49b5-886d-e8489ca1b013.FPKM.txt.gz</td>\n",
       "      <td>BRCA</td>\n",
       "      <td>2779fa01-ac93-4e80-a997-3385f72172c3</td>\n",
       "      <td>960d194f-fe39-42a0-831d-5c031cf93544</td>\n",
       "      <td>TCGA-A8-A08S-01A</td>\n",
       "      <td>2779fa01-ac93-4e80-a997-3385f72172c3</td>\n",
       "      <td>TCGA-A8-A08S</td>\n",
       "      <td>TCGA-BRCA</td>\n",
       "      <td>1</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>Primary Tumor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ed4ae015-8f5e-49b5-886d-e8489ca1b013.FPKM.txt.gz</td>\n",
       "      <td>BRCA</td>\n",
       "      <td>2779fa01-ac93-4e80-a997-3385f72172c3</td>\n",
       "      <td>793be994-dedd-4a82-a409-89e0832abf23</td>\n",
       "      <td>TCGA-A8-A08S-10A</td>\n",
       "      <td>2779fa01-ac93-4e80-a997-3385f72172c3</td>\n",
       "      <td>TCGA-A8-A08S</td>\n",
       "      <td>TCGA-BRCA</td>\n",
       "      <td>10</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>Blood Derived Normal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>ed4ae015-8f5e-49b5-886d-e8489ca1b013.FPKM.txt.gz</td>\n",
       "      <td>BRCA</td>\n",
       "      <td>2779fa01-ac93-4e80-a997-3385f72172c3</td>\n",
       "      <td>24dca296-fa30-4314-ae88-e017c8a48bad</td>\n",
       "      <td>TCGA-A8-A08S-01Z</td>\n",
       "      <td>2779fa01-ac93-4e80-a997-3385f72172c3</td>\n",
       "      <td>TCGA-A8-A08S</td>\n",
       "      <td>TCGA-BRCA</td>\n",
       "      <td>1</td>\n",
       "      <td>FFPE</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "      <td>--</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          file_name cancertype  \\\n",
       "5  ed4ae015-8f5e-49b5-886d-e8489ca1b013.FPKM.txt.gz       BRCA   \n",
       "6  ed4ae015-8f5e-49b5-886d-e8489ca1b013.FPKM.txt.gz       BRCA   \n",
       "7  ed4ae015-8f5e-49b5-886d-e8489ca1b013.FPKM.txt.gz       BRCA   \n",
       "\n",
       "                                case_ID                             sample_id  \\\n",
       "5  2779fa01-ac93-4e80-a997-3385f72172c3  960d194f-fe39-42a0-831d-5c031cf93544   \n",
       "6  2779fa01-ac93-4e80-a997-3385f72172c3  793be994-dedd-4a82-a409-89e0832abf23   \n",
       "7  2779fa01-ac93-4e80-a997-3385f72172c3  24dca296-fa30-4314-ae88-e017c8a48bad   \n",
       "\n",
       "  sample_submitter_id                               case_id case_submitter_id  \\\n",
       "5    TCGA-A8-A08S-01A  2779fa01-ac93-4e80-a997-3385f72172c3      TCGA-A8-A08S   \n",
       "6    TCGA-A8-A08S-10A  2779fa01-ac93-4e80-a997-3385f72172c3      TCGA-A8-A08S   \n",
       "7    TCGA-A8-A08S-01Z  2779fa01-ac93-4e80-a997-3385f72172c3      TCGA-A8-A08S   \n",
       "\n",
       "  project_id  sample_type_id tumor_code_id tumor_code tissue_type  \\\n",
       "5  TCGA-BRCA               1            --         --          --   \n",
       "6  TCGA-BRCA              10            --         --          --   \n",
       "7  TCGA-BRCA               1          FFPE         --          --   \n",
       "\n",
       "            sample_type  \n",
       "5         Primary Tumor  \n",
       "6  Blood Derived Normal  \n",
       "7                    --  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged = fname_2_ctype.merge(sample_info, left_on='case_ID', right_on='case_id')\n",
    "cols_of_interest = ['file_name', 'cancertype', 'case_ID', 'sample_id', 'sample_submitter_id', 'case_id', 'case_submitter_id', 'project_id', 'sample_type_id', 'tumor_code_id', 'tumor_code', 'tissue_type', 'sample_type']\n",
    "merged[merged.case_id == '2779fa01-ac93-4e80-a997-3385f72172c3'][cols_of_interest]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Derive Cancer Types using json file with meta information\n",
    "I donwloaded a json file containing some information about all the files that were downloaded before. This can now be used to infer the cancer type of each of the samples. Furthermore, I can query the GDC API and get some meta information about the data. For instance, I can see if the RNA-seq comes from control or tumor samples and which sample it belongs to.\n",
    "\n",
    "Using that mapping information, I can construct the matrix $S_{mean}$ and save it to disk."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "fname_2_ctype = pd.read_json('../../data/pancancer/TCGA/expression/meta_tcga_data/files.2018-07-23.json')\n",
    "\n",
    "# extract cancer type and put it as extra column\n",
    "ctypes = [dict(i)['project']['project_id'].split('-')[1].strip() for i in fname_2_ctype.cases.str[0]]\n",
    "fname_2_ctype['cancertype'] = ctypes\n",
    "\n",
    "# remove everything else\n",
    "fname_2_ctype = fname_2_ctype[['file_name', 'cancertype']]\n",
    "fname_2_ctype.set_index('file_name', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "def makeParams(file_ids):\n",
    "    params ={\n",
    "        \"filters\":{\n",
    "            \"op\":\"in\",\n",
    "            \"content\":{\n",
    "                \"field\":\"files.file_id\",\n",
    "                \"value\":file_ids\n",
    "            }\n",
    "        },\n",
    "        \"format\":\"TSV\",\n",
    "        \"fields\":\"file_id,file_name,cases.case_id,cases.submitter_id,cases.samples.sample_id,cases.samples.submitter_id,cases.samples.sample_type,cases.samples.tissue_type\",\n",
    "        \"size\":len(file_ids)\n",
    "    }\n",
    "    return params\n",
    "\n",
    "\n",
    "def gdcAPI(file_ids):\n",
    "    files_endpt = \"https://api.gdc.cancer.gov/files\"\n",
    "    params = makeParams(file_ids)\n",
    "    response = requests.post(files_endpt, json = params)\n",
    "    return response\n",
    "\n",
    "\n",
    "manifest = pd.read_csv('../../data/pancancer/TCGA/expression/gdc_manifest_relevanttypes_fpkm_2018_07_23.txt', sep='\\t')\n",
    "list_of_ids = manifest.id.tolist()\n",
    "mapping_file = '../../data/pancancer/TCGA/expression/meta_tcga_data/filename_mapping.tsv'\n",
    "if not os.path.exists(mapping_file):\n",
    "    response = gdcAPI(list_of_ids)\n",
    "    with open(mapping_file, 'w') as f:\n",
    "        f.write(response.text)\n",
    "mapping = pd.read_csv(mapping_file, sep='\\t', names=['sample_type', 'tissue_type', 'file_name', 'submitter_id', 'sample_id', 'file_id', 'submitter_id2', 'case_id', 'id'], header=0)\n",
    "mapping['sample_type_simple'] = ['tumor' if i[3].startswith('0') else 'normal' for i in mapping.submitter_id.str.split('-')]\n",
    "mapping.sample_type_simple.value_counts()\n",
    "\n",
    "# get the cancer type as well\n",
    "meta_data = mapping.join(fname_2_ctype, on='file_name')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "tumor_cols = meta_data[meta_data.sample_type_simple == 'tumor'].file_name\n",
    "normal_cols = meta_data[meta_data.sample_type_simple == 'normal'].file_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((53360, 5499), (53360, 447))"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_matrix[tumor_cols].shape, sample_matrix[normal_cols].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "tumor_sample_mat = sample_matrix[tumor_cols]\n",
    "normal_sample_mat = sample_matrix[normal_cols]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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sBZYlRNY4zbwiyQ3Hy3ckyb2S/E13f7O7v5Xk5UnukSRVddUkN07y4rHtXyb5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\nJOHlwNci4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htW2yejqIJNm1Odi/Oyb9/kiPgQ8BlqKvBIFoRpHWSnUUsV7peZl0Xf9k3t\nOTOo9+aGmfnpvuOr5AhXgG+zKF5OFVA7vR17DBXEzxsThLagtkU5gdpaZsFwWj05RMTGwJzM/MDi\nQnXrIFsxM/8dEbtRgwHbjB3p1fgMkSMiasuO5wOPBl5F7Se362Ke+0Bq/cvxvfnhoypqk/ezgB9n\n5nZ9x99FTV19GLVf2kh/WI8nam3fR4CvZeYpcdsCTetRvdJ7A7tkrX8kIk6jpnI+MxdTIXi6iaoi\n+l7gC9lX4bfdEOxDVcx8HVXm/qXUaNCq7ee35IisFV2cNlL7fCr0zKRuRL9PTYW+LzWbYha15cKN\n1LrSe1IzBE4cRpuHLapw0/8C52XmEe1Yb1TjNiOSrcNiRSqAX5utmu2o6jgl81u5aG3V1sATqK15\nfjhqMywAIuLR1Ayn51L7s26Rmb8dJ0guR3WYHQH8qHVsjNyslJ4WIM+mXjfP7zv+Nup74AmZeWF7\nfybVgXYsNWPl7aPWOdbTPsNupmaZ7AI8aXGjslEFd+6fVVTniYxgpeSlYWGdEdE+qI/NzDdTU5he\nFhGH9T+nfRHSRjX+iyqDP7IiYia1CfQPgC0jYr++h/8AnJxVFGFm37/ZrAWkkddGMIKa3jv2sT9T\n05ROoAoqLNduII6lRjpGIkA2d6MqHp/RrkHvZmoBtSZoXWp6+SOzClGcDqwGvNMAGRtQ2yaslplf\np6rW/pn67Do+Mz+Umftl5uup3uXnUJ9tm1A3ZyMlItaOiIe0Uf7jafcA/WGohZ8vU5uWz4qI3wP/\nQ20NMOoBckNqXdptNnJvf55HvRZXAR7X+z6lpqbvQo0MjWQYysyzMvMz1FTWs4HTI2KTNrV3uSgz\n2n3K6dS1urX925G8ZlFLi55ObVO0Te/+I2o/wxnAK4B12nfFmtQym7Wp79zPjnCAfCC13/QqVDXp\nu7No//PxChuuTHU2ApxhgLxrDJHTXEQ8KCL2iYgjgJ0iYt3MPJqqVPXS/iDZNyXi+VRlyHsNpdGT\nRBtd/Bw1ZfDdwD4R8fb28G7A7hHxB+DciDgxIr5LVRO9cdxfOCKiqtAuH1V04pnUqPbtqsllreH7\nKlVZNNoNxCGZ+dsJbvKwPYpW3bHXK9/+PKuNlO1AXaMPRq1jOx14XGb+bkjtnRSiCkm8kOrQ2Tci\nnptVbOiTVEXbF0UVbBrr1sz8R45YoYmofUe/Q031hbq5WrHv8YVVpbOqEX6OWv94L2qt36h/rt0b\nOJFa2rB6C93L9R5v35+/ofZvfXBf+Pkp8KgcsTXL/demr4P6V8BbWBQkN83MW7LcGlUB/r+pvUdH\nWpv6fATwampbp30i4mhq2vShmXkytW7+lqwiMQ/NzL8DLx7B71AAImJ1aiud+1DF0n5JFfTbB+o9\n2josluv7Z/enOmyhRnN1Fxgip7Goxdjvpnqm1qKmFr62faAfR63Benl/kIwqpb0t9YH0l4lv9fCN\nCd47Ur17H6Z6Ud/ewuJ7qKms+1HrhH5PFdN566jdnPaLWkf7f9Q0kpupMvdPG+d5vQ/xn1FThRfA\nohA1Yn4PrBy1Z9VC7aZquTbFdXvq83oBcEyO+BrI5iaqKvK21M3W16P2Y/039Z68F7Bt1Pq/hZ1k\no/gaa2H6PdSUwv9rh2+k1m7Tu4nv/dn+zUOojcoflpkXDKHZk8161LTzE6mOw4f0RtJ6T2jX7gzg\nCW3EiMy8MEeswmObYr5VW9Jwm9HEMUHyxxGxbUTcu917vBh4W45T9G9URMRaEbFRRGyUmTe3jrEv\nUEFoG+C+mXlVe3qvHsMc4E0Rca8cZ6/NEbI8cDBVV2Fr6vPtUGpbj/1g4WfdLbDwfvd5wC96jw2j\n0VPZzDt/iqaiqEIduwCfzkUFTU4BNmhvlJuAr/TWIETEf6gvv2cB78oRLaXdF7x/y6LgvX5m7hsR\nn6Wmyb2X2vPrHVTPs1jYU/8qqpDJy6hRj+9Qe2j+OtuWKE1vVPKBwFVt6vAtI/ohfjU13WbHiPhl\n3xfczFy01nYF6jX5jxG9RgtFxCxqjeOFvZupiNib6lE+PiK2z8zjW+fYrsDTI+Iq4PIc0erS1Of9\ne4DDgSMi4jjgY8DToipLL6A6wWZSn3H3pDotthvVzsSxMvMs4KyIOJvaS/n0iHhCZp7fvkdvpc2o\niIjTgZHs6Inaf/UkYJ/FBZrM/FVEvIFa13cUde9xK7DnqN57wMKpmF+gljCsGhHHZearM/MfEfF5\nakDggIi4PjP3ba+1p1Brbh/eRiJHVmbOB+b3zYJ6MPXaOpaarbIpNfvpr9Ta+OdR+2eObKfF0rKw\nzjTUpi0dA+yemadGxEpZZce/SK0F+jO1+P/LmTkvIraj1sf8iSpoMpLbUfQF7x+NCd5XZeaL2s8z\nqOpd+1Nh8nPUiNulMLo9We3a7caivZjWoSoVPpjad3QT4LXASZl5Zfs3WwDbUVNzRnLv0Z6IeCv1\nejqAuh79e1htQe3Rd4TXKTYCjgZ2ajeiy2fmzRHxVGpEch1qNON5mXlce79+npre9NLM/Mew2j4Z\nRBWcmEOtd1wN+BLVe7828C8qTM5pP2+eI7btyVjRV/gl4jZVMB9GBclHAk/Ovmq1bUrmTlQF4JG6\nOY0qOnQgtVzmV1QnxOVjntOrBPxoqvL7GlQl5VtyhLeNiaqe/zrg51Ql6QOoZQ6vyMyvtOesSU1v\n3Z+aGfVt6vPuY6M22t3Trsk9gL9kX/Xj1qm9JbXNU1L7P76R6hz7O9XJs19ahXWpGCKnmTZt6XCq\nWuG8zNy2Hd+eqsb3dWoR8fOp3ubHU2+oD1HTSEbyDdUheF9GhaIjqNG111FTXH9A7dE3yl9+a7No\nL6ZTx3n8v6ke562pwid/pEbVZgPvHtUvv35RFVo/TFXF/ClVXfRCas3aFsDcUR8Rap9th1FbnZyU\nmXPa8a2psvYfom4QDqZuYp9JbfuxA/B9pwCXqEqO21CdFv/IzCePeXwr4Ldp0ab7UtVWfzDeiFoL\nku+jvkNfQk3PfBhtDf0ojqi1Top7U59bxwPXUx3Tl/c9p1fEaWNgk8w8bjitnTyiCjZ9A3hdLtrD\n9u7UfcdHMvOdfc9di3qNfZSqHP/CUX2vRsQmVEf+jv/f3r2ExlVHcRz/HivVtLgQLDYKBR9Fiygi\nBKQ+ULNIWgQNtrRaXJgIrUWkQlWoXRoXCpUaqHWhhvoCHwsXpYjgota6EaNU8AGlioIrLbULESzH\nxTk3uZkmmZt0JhPm/j7QTSaUS5j5z//8/+fh7j/Z+d1+e4kZy7+7+2cWs4JXEHu5c17z6QOtoCCy\ny1g0m7iOCBTHidPAV4Dbgdfyuh8z20Kkkewhgk7qGgjNI/DeTKS49hGpN/uBHV7TIvZCBuAPuPtL\nNn2MR/nkfhWR6nopcSt0FDhWx43WbPJ9OEQcUKwkTum/Bt72Gs8aLZhZD5H+3Esc5nxH3HqsB8aL\n21uLmZG7iREy7wBP13Vtm01+TwwSWQLfu3t/vv/+hvpmVBQaUjI/nOP31hEHZNuYnpJZy2yeMou5\nou9SCiQbvh/2EjdF99T5/WYxbud1YAul/Ue+Ng584A2jiLIG8lngibruP8zsciI1tZ+YN70zf94Y\nSK4h5t5+5DlnU1pHQWSXyhPBjcA+ogvfWnc/Y2aXufvZ/J3jxIfvUAcfteMWGHgfIuZD1raJTsHM\nHidSbu6e4bXi1HklsFrBUHM1rw9tqpSSuY+oFb3R3c8W2QP5O0NEA5mH6ppd0UzeSG4gbsDPEQdp\n+72mowEKSslsHTO7lRgX8w8wWPouHSDSMkfdfaKDj9hxuf+4lqiDHAd+yEOdi4iMnf+ILKm/iKyx\nlUT36bG6pUuX5Z7iJuA2YqTHMXd/LF9blvWixed0CLjS3Q928JG7koLILlZKW3qVOG3eUHptkMir\n3+Q1az0+m4qB91fAAY95fQJkYf8+4FGfpXFJNgzoK2o7ZHYNN7i1HbQ9l9LaNgacKNa2Uo3kzUQj\nnT/m+n8EzOxFogHRet2gKSWz1TKQfJ9o3NRH3BxtBV5QJsqU0uHYAaKU4TBRt7w6/60j6pd7gDt1\nOBYyg2KEmGV71N2H8+fLi3RVM3uYiHfe69yTdieN+OhiHnO9irlWt1iMpiBPT/uJXPpfOveES0su\nOEeIU61/iQYelALIQWIR/6JTz7hE/UY00Nlu02eDlWcx9RLNnKSJctCoAHJmpbXtSUprG7Dcoqvt\nCQWQzeVtxwRxwFP7ABLie8Ddf82/xzZi0/6pmV0Bk7eQxedyE7DLbMYh5gK4+7dEzegy4DTREGZU\nAeR0uf84TDSguwrY4u573H3Y3TcS2VJrgBsUQE5x9zPAG8Qoj7ssRrNRCiAHiKkDxzv2kF1MQWSX\ny83WEaI+6HozO0V0qBpTo4nzKfCev0xRfZnY0D+faSaT8/iy8clmYrMq0hINa9taMzsJPEUc9EgF\nWZ/2sTb0M8tUy0eYCiRXlWr6BojGO7t02DO3/DseBP4EdmrvMbPSQfZu4Goz+xIm6/8uyfee0qUb\nZCD5JpGZcq+ZfW5mg2Y2QqSl79W+rT2UzlojmbY0TBSy/9jp51nKGuqFnBi6/ZzXtAtaM9kxbj+x\n4fqEOFE9ydQsphFtVKVdzGyUSMm8Qzdq0mpKybwweeN9H/CzvkOba9h/QNyyjRU13zKzrGfuB54h\napRPE52S9Z3QJgoiayIX8SHgG33pVafAu7o8Ld1KdELrIeaOniJSl5R+I22Ra9uDwITWNmmX7Db6\nFnANkVUxrBu16lTfPX95OLYd1SsvSLkuUtpDQWSNlNtrS3MKvBfGzFYAFxMNKfDSAGCRdtDaJovB\nzHYQoxXur+toBVkcOhxbGDWmW1wKIkXmoM3phdEiLiLdQCmZsti0/5ClTkGkiIiISBM6FBMRmaIg\nUkRERERERCrTiA8RERERERGpTEGkiIiIiIiIVKYgUkRERERERCpTECkiIiIiIiKVKYgUERERERGR\nyhREioiIiIiISGUKIkVERERERKSy/wHSlTLO01nPlgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0f24cc86d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "unique, counts = np.unique(meta_data[meta_data.sample_type_simple == 'tumor'].cancertype, return_counts=True)\n",
    "fig = plt.figure(figsize=(15, 20))\n",
    "plt.subplot(2, 1, 1)\n",
    "ax = plt.bar(np.arange(counts.shape[0]), counts)\n",
    "plt.xticks(np.arange(counts.shape[0]), unique, rotation=45, fontsize=15)\n",
    "plt.yticks(fontsize=15)\n",
    "plt.ylabel('Frequency', fontsize=20)\n",
    "plt.title('Number of Tumor Samples per Cancer Type', fontsize=25)\n",
    "plt.subplot(2, 1, 2)\n",
    "unique, counts = np.unique(meta_data[meta_data.sample_type_simple == 'normal'].cancertype, return_counts=True)\n",
    "ax = plt.bar(np.arange(counts.shape[0]), counts)\n",
    "plt.xticks(np.arange(counts.shape[0]), unique, rotation=45, fontsize=15)\n",
    "plt.yticks(fontsize=15)\n",
    "plt.ylabel('Frequency', fontsize=20)\n",
    "plt.title('Number of Normal Samples per Cancer Type', fontsize=25)\n",
    "fig.savefig('../../data/pancancer/TCGA/expression/samples_per_cancertype.svg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = meta_data[['file_name', 'cancertype', 'sample_type_simple']].set_index('file_name')\n",
    "samples_with_ctype = sample_matrix.T.join(m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sample_type</th>\n",
       "      <th>tissue_type</th>\n",
       "      <th>file_name</th>\n",
       "      <th>submitter_id</th>\n",
       "      <th>sample_id</th>\n",
       "      <th>file_id</th>\n",
       "      <th>submitter_id2</th>\n",
       "      <th>case_id</th>\n",
       "      <th>id</th>\n",
       "      <th>sample_type_simple</th>\n",
       "      <th>cancertype</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5310</th>\n",
       "      <td>Primary Tumor</td>\n",
       "      <td>NaN</td>\n",
       "      <td>d143ba0b-3878-428d-9432-2a179a9abf8c.FPKM.txt.gz</td>\n",
       "      <td>TCGA-20-1687-01A</td>\n",
       "      <td>bcd16bf3-0877-4e4b-b70b-7d6a497af7ac</td>\n",
       "      <td>756203dc-4d95-4efc-943a-3429cd252541</td>\n",
       "      <td>TCGA-20-1687</td>\n",
       "      <td>9bf16a89-2fc7-4c08-93bc-3105eec5c3cc</td>\n",
       "      <td>756203dc-4d95-4efc-943a-3429cd252541</td>\n",
       "      <td>tumor</td>\n",
       "      <td>OV</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sample_type  tissue_type  \\\n",
       "5310  Primary Tumor          NaN   \n",
       "\n",
       "                                             file_name      submitter_id  \\\n",
       "5310  d143ba0b-3878-428d-9432-2a179a9abf8c.FPKM.txt.gz  TCGA-20-1687-01A   \n",
       "\n",
       "                                 sample_id  \\\n",
       "5310  bcd16bf3-0877-4e4b-b70b-7d6a497af7ac   \n",
       "\n",
       "                                   file_id submitter_id2  \\\n",
       "5310  756203dc-4d95-4efc-943a-3429cd252541  TCGA-20-1687   \n",
       "\n",
       "                                   case_id  \\\n",
       "5310  9bf16a89-2fc7-4c08-93bc-3105eec5c3cc   \n",
       "\n",
       "                                        id sample_type_simple cancertype  \n",
       "5310  756203dc-4d95-4efc-943a-3429cd252541              tumor         OV  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta_data[meta_data.submitter_id.str.startswith('TCGA-20-1687')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filter out genes that have unrealistically high gene expression\n",
    "To get rid of this strange behaviour in the boxplot, it might be a good idea to kick out genes that have unrealistic gene expression."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save the IDs\n",
    "t = samples_with_ctype.drop(['cancertype', 'sample_type_simple'], axis=1, errors='ignore')[samples_with_ctype.index == 'ID']\n",
    "\n",
    "# compute mean and re-introduce the IDs\n",
    "mean_ge_tumor = samples_with_ctype[samples_with_ctype.sample_type_simple == 'tumor'].fillna(0).groupby('cancertype').mean().T\n",
    "mean_ge_tumor['ID'] = t.T\n",
    "mean_ge_tumor.set_index('ID', inplace=True)\n",
    "mean_ge_tumor_filtered = mean_ge_tumor[mean_ge_tumor.max(axis=1) < max_reads]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_ge_normal = samples_with_ctype[samples_with_ctype.sample_type_simple == 'normal'].fillna(0).groupby('cancertype').mean().T\n",
    "mean_ge_normal['ID'] = t.T\n",
    "mean_ge_normal.set_index('ID', inplace=True)\n",
    "mean_ge_normal_filtered = mean_ge_normal[mean_ge_normal.max(axis=1) < max_reads]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0f1b4803c8>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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JPXv2HPPvaW1tlb179xa6AzU3N3caqJXK3r17paWlRcrLy0s+y9q7d+9CTeUH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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0f24cd6668>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_geneexpression = pd.concat((mean_ge_tumor_filtered, mean_ge_normal_filtered))\n",
    "all_geneexpression['sample_type'] = ['tumor']*mean_ge_tumor_filtered.shape[0] + ['normal']*mean_ge_normal_filtered.shape[0]\n",
    "t = pd.melt(all_geneexpression, id_vars='sample_type')\n",
    "\n",
    "fig = plt.figure(figsize=(14, 8))\n",
    "seaborn.boxplot(data=t, x='variable', y='value', hue='sample_type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_ge_tumor_filtered.to_csv('../../data/pancancer/TCGA/expression/mean_matrix_filtered.tsv', sep='\\t')\n",
    "mean_ge_normal_filtered.to_csv('../../data/pancancer/TCGA/expression/mean_matrix_normaltissue_filtered.tsv', sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute Fold Changes compared to normal Tissue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/pkg/python-3.6.0-0/lib/python3.6/site-packages/ipykernel/__main__.py:5: RuntimeWarning: divide by zero encountered in log2\n",
      "/pkg/python-3.6.0-0/lib/python3.6/site-packages/ipykernel/__main__.py:8: RuntimeWarning: divide by zero encountered in log2\n"
     ]
    }
   ],
   "source": [
    "fold_changes = []\n",
    "ctype_no_normal = []\n",
    "for c in mean_ge_tumor_filtered.columns:\n",
    "    if c in mean_ge_normal_filtered:\n",
    "        fc = np.log2(mean_ge_tumor_filtered[c] / mean_ge_normal_filtered[c])\n",
    "    else:\n",
    "        ctype_no_normal.append(c)\n",
    "        fc = np.log2(mean_ge_tumor_filtered[c] / mean_ge_normal_filtered.mean(axis=1))\n",
    "    fold_changes.append(fc)\n",
    "fc_df = pd.DataFrame(fold_changes).T\n",
    "fc_df.rename(columns={'Unnamed {}'.format(i): ctype_no_normal[i] for i in range(len(ctype_no_normal))}, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No FoldChanges computable for 21579 genes. Left with 31178 genes.\n"
     ]
    }
   ],
   "source": [
    "fc_df.replace([np.inf, -np.inf], np.nan, inplace=True)\n",
    "print (\"No FoldChanges computable for {} genes. Left with {} genes.\".format(fc_df[fc_df.isnull().any(axis=1)].shape[0], fc_df[~fc_df.isnull().any(axis=1)].shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get Gene Names for Ensembl IDs\n",
    "Lastly, I want to only look at a relatively small subset of the genes. I can get the gene names for all of the Ensembl IDs and then merge those that correspond to the same one (isoforms and alternative transcripts) since I don't have that kind of resolution in my network anyways."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using Fold Changes as data\n"
     ]
    }
   ],
   "source": [
    "if use_foldchanges:\n",
    "    mean_matrix = fc_df\n",
    "else:\n",
    "    mean_matrix = mean_ge_tumor_filtered\n",
    "print (\"Using {} as data\".format('FPKM' if not use_foldchanges else 'Fold Changes'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "querying 1-1000...done.\n",
      "querying 1001-2000...done.\n",
      "querying 2001-3000...done.\n",
      "querying 3001-4000...done.\n",
      "querying 4001-5000...done.\n",
      "querying 5001-6000...done.\n",
      "querying 6001-7000...done.\n",
      "querying 7001-8000...done.\n",
      "querying 8001-9000...done.\n",
      "querying 9001-10000...done.\n",
      "querying 10001-11000...done.\n",
      "querying 11001-12000...done.\n",
      "querying 12001-13000...done.\n",
      "querying 13001-14000...done.\n",
      "querying 14001-15000...done.\n",
      "querying 15001-16000...done.\n",
      "querying 16001-17000...done.\n",
      "querying 17001-18000...done.\n",
      "querying 18001-19000...done.\n",
      "querying 19001-20000...done.\n",
      "querying 20001-21000...done.\n",
      "querying 21001-22000...done.\n",
      "querying 22001-23000...done.\n",
      "querying 23001-24000...done.\n",
      "querying 24001-25000...done.\n",
      "querying 25001-26000...done.\n",
      "querying 26001-27000...done.\n",
      "querying 27001-28000...done.\n",
      "querying 28001-29000...done.\n",
      "querying 29001-30000...done.\n",
      "querying 30001-31000...done.\n",
      "querying 31001-32000...done.\n",
      "querying 32001-33000...done.\n",
      "querying 33001-34000...done.\n",
      "querying 34001-35000...done.\n",
      "querying 35001-36000...done.\n",
      "querying 36001-37000...done.\n",
      "querying 37001-38000...done.\n",
      "querying 38001-39000...done.\n",
      "querying 39001-40000...done.\n",
      "querying 40001-41000...done.\n",
      "querying 41001-42000...done.\n",
      "querying 42001-43000...done.\n",
      "querying 43001-44000...done.\n",
      "querying 44001-45000...done.\n",
      "querying 45001-46000...done.\n",
      "querying 46001-47000...done.\n",
      "querying 47001-48000...done.\n",
      "querying 48001-49000...done.\n",
      "querying 49001-50000...done.\n",
      "querying 50001-51000...done.\n",
      "querying 51001-52000...done.\n",
      "querying 52001-52757...done.\n",
      "Finished.\n",
      "3192 input query terms found no hit:\n",
      "\t['ENSG00000069712', 'ENSG00000116957', 'ENSG00000122718', 'ENSG00000130201', 'ENSG00000133808', 'ENS\n"
     ]
    }
   ],
   "source": [
    "# now, join the two and remove gene when it does not fit\n",
    "mean_matrix_symbol = mean_matrix.join(ens_2_symbol, on='ID')\n",
    "mean_matrix_symbol.dropna(axis=0, inplace=True)\n",
    "\n",
    "# merge genes with the same name\n",
    "mean_matrix_symbol_joined = mean_matrix_symbol.drop('ID', axis=1).groupby('Name').mean()\n",
    "\n",
    "# add IDs again (column was lost during grouping)\n",
    "mean_matrix_final = ens_2_symbol.join(mean_matrix_symbol_joined, on='Name')\n",
    "\n",
    "# write to file\n",
    "mean_matrix_final.to_csv('../../data/pancancer/TCGA/expression/mean_matrix_names_{}.tsv'.format('fc' if use_foldchanges, sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found symbols for 49565 of 52757 genes\n"
     ]
    }
   ],
   "source": [
    "# next, look how many genes will get symbols\n",
    "mean_matrix['ID'] = [i[0] for i in mean_matrix.index.str.split('.')]\n",
    "no_matches = mean_matrix[mean_matrix.ID.isin(ens_2_symbol.index)].shape[0]\n",
    "print (\"Found symbols for {} of {} genes\".format(no_matches, mean_matrix.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# now, join the two and remove gene when it does not fit\n",
    "mean_matrix_symbol = mean_matrix.join(ens_2_symbol, on='ID')\n",
    "mean_matrix_symbol.dropna(axis=0, inplace=True)\n",
    "\n",
    "# merge genes with the same name\n",
    "mean_matrix_symbol_joined = mean_matrix_symbol.drop('ID', axis=1).groupby('Name').mean()\n",
    "\n",
    "# add IDs again (column was lost during grouping)\n",
    "mean_matrix_final = ens_2_symbol.join(mean_matrix_symbol_joined, on='Name')\n",
    "\n",
    "# write to file\n",
    "mean_matrix_final.to_csv('../../data/pancancer/TCGA/expression/mean_matrix_names_{}.tsv'.format('fc' if use_foldchanges else 'fpkm'),\n",
    "                         sep='\\t')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove Genes that are not in Network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "with h5py.File('../../data/pancancer/hotnet_iref_vec_input_unbalanced.h5', 'r') as f:\n",
    "    network = f['network'][:]\n",
    "    features = f['features'][:]\n",
    "    node_names = f['gene_names'][:]\n",
    "    y_train = f['y_train'][:]\n",
    "    y_test = f['y_test'][:]\n",
    "    if 'y_val' in f:\n",
    "        y_val = f['y_val'][:]\n",
    "    else:\n",
    "        y_val = None\n",
    "    train_mask = f['mask_train'][:]\n",
    "    test_mask = f['mask_test'][:]\n",
    "    if 'mask_val' in f:\n",
    "        val_mask = f['mask_val'][:]\n",
    "    else:\n",
    "        val_mask = None"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "((9704, 13), (12129, 2))"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_matrix_final[mean_matrix_final.Name.isin(node_names[:, 1])].shape, node_names.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0dd13a9748>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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I3/jGN7R582YZY3TDDTcoGo16HRouZSmZzyfxoafGO65XP0NapoemtrY2Z2uM8To0oKDo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\nJElVzaRGkiRJUlX7f4Y7Nmm5CsFiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0dd4287eb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features_ge = mean_matrix_final[mean_matrix_final.Name.isin(node_names[:, 1])]\n",
    "features_ge.plot(kind='box', figsize=(14, 8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Write Back to Disk\n",
    "Last but not least, I write the gene expression back as features to disk. I can then use the container for multi-omics training but also train on the container only."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3094 out of 12129 nodes don't have any features assigned\n",
      "--> left with valid scores for 9035 genes\n"
     ]
    }
   ],
   "source": [
    "# first, bring node names to DF\n",
    "nodes_df = pd.DataFrame(node_names, columns=['ensembl_id', 'name'])\n",
    "nodes_df.set_index('name', inplace=True)\n",
    "\n",
    "# add gene body and promoter information\n",
    "F = nodes_df.join(features_ge.set_index('Name'))\n",
    "\n",
    "num_of_zero_nodes = F.isnull().any(axis=1).sum()\n",
    "print (\"{} out of {} nodes don't have any features assigned\".format(num_of_zero_nodes, network.shape[0]))\n",
    "print (\"--> left with valid scores for {} genes\".format(network.shape[0]-num_of_zero_nodes))\n",
    "\n",
    "# put 0 for missing data and remove name columns\n",
    "F.fillna(0, inplace=True)\n",
    "F.drop('ensembl_id', axis=1, inplace=True)\n",
    "F = F[~F.index.duplicated()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f0dd0940b70>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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J60eQJEmStIdJfZnvGOM/Qgj3s/0dpNrJ8L7AGra/m5TJmCRJGTv+hAfzHaEa\nG5zvAJJyrNl1k7N6vSVDTsvq9aqbNB+xC5/a3QzcBByZ7LcCngSmZDgmSZIk6WtgxowZ1K5dm1tv\nvZVrrrmGXr16sWXLFkaOHEmLFi0YNWoUI0eOpFu3bqxbt26Hz1555ZU77M+ZM4cmTZrQr18/7rzz\nTs4//3xuvvlmYoyp5U9zBumcEMKVwETg+RjjX0MIHUMIFwPrYozTADIdkyRJklT9tW/fngYNGtCv\nXz8KCgo44ogjmDJlCp07d+a+++6jT58+AHTt2pVatWpVfW7q1KmMGzeOfv368e1vfxvY/oWzLVq0\n4IorruCwww5jy5YtdOnShX322YdrrrkmlfxpvoM0PsZ4YozxthjjX5Oxm2KM98cYb//UeRmNSZIk\nSfp6Wb9+PWvXruXggw/e6dicOXMoLCys2n/llVe4/vrrGT58+Oder2bNmvz85z/n3nvvTSUv+EWx\nkiRJklIwcuRI2rdvz6RJkzj88MMBqKioYPTo0dxyyy28/PLLVeeuXLmShg0b0qtXLx599FE2btz4\nuddt1qwZ77zzTmq5U1+kQZIkSdKep0ePHjz33HO8/vrrtGnTBoCSkhJ69+4NwNKlS6vOfeSRR6hZ\nsyYTJkygWbNmPProo/z4xz/e5XXffvttDjrooNRyW5AkSZIkpWL48OG0b9+eTp067XSsadOmzJo1\ni7Zt2/Lxxx/Tr18/AA477DCuvfbaXRakbdu2cfvtt6f2/hFYkCRJkqTdWq6X5Z49ezarV6/mz3/+\nMxdddBFDhgzhlFNOoW/fvixbtoyRI0cC8MILLzBw4EB+/etfU6NGDbZt28Zee+3Ffvvtx0svvcQ9\n99xDp06dWLRoEffddx/NmjXjb3/7G2eeeSaXXHJJavlDmkvk5UJZWVksLy/PdwxJyr3BdfOdoNp6\n7oTifEeotk7qtDDfESSlbN68ebRs2TLfMfJqV38HIYRXY4xlX/ZZF2mQJEmSpIQFSZIkSZISFiRJ\nkiRJSliQJEmSJClhQZIkSZKkhAVJkiRJkhJ+D5IkSZK0O8v210IMXp/d61UzFiRJkiRJWfPYY4/R\ns2dPnn/+eY477jjWrVvHNddcw1FHHUW3bt246667OPjgg6lVqxZz5syha9eubNiwgR/96Efcdttt\nAMyaNYt+/frRunVr3nzzTUaOHEnLli0JITB16lR+/etf06xZs1TyW5AkSZIkZc3ZZ59NUVERxx13\nHAD16tXTeJ7KAAAUPklEQVTjxBNP5Nhjj6Vr16786U9/qio3r732Gh988AGnnHIKhYWF9OnTB4De\nvXuzatUqVq9ezbnnnsv06dOpW3f7TFhRUVGq+X0HSZIkSVLqJk+eTFFR0Q4zP0cddRTf/e53dzr3\nhRde4IADDmDMmDG0bdu2qhwBdOvWjYYNG6aW0xkkSZIkSVkVQthpbPPmzTRq1Gin8cLCQgA2bNjA\n6NGj+eCDD1i4cCGdO3dm/vz5O30mhEBBQUE6wbEgSZIkSUrZpk2bOPDAA3nuuec+95zCwkJ69+4N\nwNKlSwFo3Lhx1Xau+IidJEmSpKwqKSlh2bJlVfuLFy/mrLPOYsGCBcybN69qfOXKlcyfP3+nzzdt\n2pQXX3yRCy+8kKeffppVq1ZVHXvrrbdYsWJFatmdQZIkSZJ2Z3lYlnvYsGEMHDiQ0tJSNmzYQMeO\nHfnGN77BxIkTGTRoEN/+9rdp3rw5TZs25ZRTTmHSpEm8//77DBs2jBo1avC3v/2Nzp07065dOx54\n4AH69OlDaWkpTZo0oWXLlhx//PGpZbcgSZIkScqqdu3a0a5du53GjzzySCZMmLDT+Omnn85HH320\ny2t16NCBDh06ZDvi5/IRO0mSJElKWJAkSZIkKWFBkiRJknYzMcZ8R8ibf/dntyBJkiRJu5GCggLW\nrFmzR5akGCNr1qz5t74nyUUaJEmSpN1I48aNWb58ORUVFfmOkhcFBQU0btz4X/68BUmStNu55Om7\n8h2h2lrSKd8JJKWtZs2aNG/ePN8xvrZ8xE6SJEmSEhYkSZIkSUr4iJ0kabezpKBnviNUY+vzHUCS\nqjVnkCRJkiQpYUGSJEmSpIQFSZIkSZISFiRJkiRJSliQJEmSJCmRUUEKITRNO4gkSZIk5VumM0g3\nhBCuCCG0TDWNJEmSJOVRRgUpxnhxjPF3QNMQwuMhhD4hhDopZ5MkSZKknMroi2JDCD8AWgI/BiYC\nLwA9QggbY4wPpphPkiRJknImo4IEjARuAtrHGDcChBCWAUsAC5IkSZKk3UKmBemEGOMSgBBCzRjj\nlhjj5hDCUelFkyRJkqTcynSRhutCCP2S7RNCCN0BYozvpRNLkiRJknIv04L0zxjj3QAxxueAn6cX\nSZIkSZLyI9NH7LaEEL4LfAT0Bv43tUSSJEmSlCeZziCNAI4G+gLLgR+mlkiSJEmS8iTTgrQ38Fdg\nLPAa8NPUEkmSJElSnmT6iN1UYDGwIdlvBtyeRiBJkiRJypdMC9L0GOPAT3ZCCE1SyiNJkiRJeZNp\nQfpGCOF2YF2yfzhwXiYfDCEcBtwWYzwthHAtsAqoG2O8Jzme0ZgkSZIkpS3Td5DeBCax/VG7qWx/\nD+lLhRBqAV3YXrDaA/VjjA8CRSGEYzId+4o/kyRJkiT9SzItSLOBFsA0oJDtq9pl4iJgVLJ9KjAv\n2Z6b7Gc6toMQwqUhhPIQQnlFRUWGUSRJkiTpi2VakPoBe8UYI/AMMObLPhBC+D7b3136KBkqBtYm\n2xuBhl9hbAcxxhExxrIYY1lJSUmGP4IkSZIkfbFM30H6M7Am2T4KKMvgMz8B9g8hALQGTgSeTY7t\nm1wvArUzGJMkSZKk1GU6g/QOcGkI4VlgCtD/yz4QYzwvxtghxtgB+BvQHjgyOdwKeDK5ViZjkiRJ\nkpS6jGaQYozTQgjTgRJgNXDgV/2DYowzQwgdQwgXA+tijNMAMh2TJEmSpLRlVJBCCC+w/dE32D7r\ntB/bH7XLSDKLRIzxpl0cy2hMkiRJktKW6TtIv4wxzgQIIdQHuqYXSZIkSZLyI6N3kD4pR4kPgfPT\niSNJkiRJ+ZPpI3aLgCVAADYBD6WYSZIkSZLyItNH7DrGGJd+djCE0DDG+F6WM0mSJElSXmRakG4M\nITT5zFgADgC+nd1IkiRJkpQfmRakhcAlMcatIYRvAOfHGEeEEI5OMZskSZIk5VSmXxS7Lsa4Ndmu\nBfQDiDG+mkoqSZIkScqDTGeQZoQQnmL79x81B36bXiRJkiRJyo+MClKM8bUQwvkkq9jFGN9PN5Yk\nSZIk5V5Gj9iFEEYBv44xVgClIYTeqaaSJEmSpDzI9B2kN4Anku2ZwPXpxJEkSZKk/Mm0IK0HmoQQ\njgMeBeanF0mSJEmS8iPTgvQwUAicD8wAzkktkSRJkiTlSaar2M0Cjo4xxjTDSJIkSVI+ZVqQJgHd\nQghrkv3vxxh/lVImSZIkScqLLyxIIYRvAR8ABwER2JYcapVyLkmSJEnKuS+bQfod2987eoTtBak8\nxrgihFCYejJJkiRJyrEvW6ThieRLYScDP4gxrgCIMW5IPZkkSZIk5diXFaS9Qgg1gb2BRSGEmiGE\nfUIIZ+UgmyRJkiTl1Jc9YncbcB0Qkv0rk+36wJ9SzCVJkiRJOfdlBalzjPGlzw6GENqmlEeSJEmS\n8uYLH7HbVTlKxl9JJ44kSZIk5c+XvYMkSZIkSXsMC5IkSZIkJSxIkiRJkpSwIEmSJElSwoIkSZIk\nSQkLkiRJkiQlLEiSJEmSlLAgSZIkSVLCgiRJkiRJCQuSJEmSJCUsSJIkSZKUsCBJkiRJUsKCJEmS\nJEkJC5IkSZIkJSxIkiRJkpSwIEmSJElSwoIkSZIkSQkLkiRJkiQlLEiSJEmSlLAgSZIkSVLCgiRJ\nkiRJCQuSJEmSJCUsSJIkSZKUsCBJkiRJUsKCJEmSJEmJGmldOITwTeB2oAz4TYxxXAjhWmAVUDfG\neE9yXkZjkiRJkpS2NGeQSoCLgS7AeSGE9kD9GOODQFEI4ZhMx1LMKEmSJElVUptBijG+CRBCaALc\nBZwKzEsOz032a2Y4NjutnJIkSZL0idQKEkAI4SBgCFABrAPWJoc2Ag2BkOHYZ697KXApwLe+9a2U\n0kuSJEna06S6SEOMcRFwEtAK2ALUTg7tC6xhe3HKZOyz1x0RYyyLMZaVlJSk9wNIkiRJ2qOkvopd\njHEb8BLwMHBkMtwKeBKYkuGYJEmSJKUuzVXsrmZ7wZkJDI8xvhJC6BhCuBhYF2OclpyX0ZgkSZIk\npS3NRRru3MXYTf/qmCRJkiSlzS+KlSRJkqSEBUmSJEmSEhYkSZIkSUpYkCRJkiQpYUGSJEmSpIQF\nSZIkSZISFiRJkiRJSliQJEmSJClhQZIkSZKkhAVJkiRJkhIWJEmSJElKWJAkSZIkKWFBkiRJkqSE\nBUmSJEmSEhYkSZIkSUpYkCRJkiQpYUGSJEmSpIQFSZIkSZISFiRJkiRJSliQJEmSJClhQZIkSZKk\nhAVJkiRJkhIWJEmSJElKWJAkSZIkKWFBkiRJkqSEBUmSJEmSEhYkSZIkSUpYkCRJkiQpYUGSJEmS\npIQFSZIkSZISFiRJkiRJSliQJEmSJClhQZIkSZKkhAVJkiRJkhIWJEmSJElKWJAkSZIkKWFBkiRJ\nkqSEBUmSJEmSEhYkSZIkSUpYkCRJkiQpYUGSJEmSpIQFSZIkSZISFiRJkiRJSliQJEmSJClhQZIk\nSZKkhAVJkiRJkhIWJEmSJElKWJAkSZIkKVEjjYuGEPYF7geOBp6MMfYNIfQBPgaKgdtijNsyHUsj\noyRJkiR9VlozSN8DegNHACeFENoCJ8QYfw+sBM4NITTLZCylfJIkSZK0k1QKUozxmRjjhzHGj4A3\ngFOBBcnhfyT7XTIc20kI4dIQQnkIobyioiKNH0GSJEnSHijVd5CSR+3eBrYAa5PhjUBDtj9Cl8nY\nTmKMI2KMZTHGspKSkpTSS5IkSdrTpL1IwwXAr4AKoHYyti+w5iuMSZIkSVJOpFaQQgjdgAkxxg+A\np4HDk0OtgCeBpzIckyRJkqScSGsVu77Az4A1IYR9gDuBV0IIl7D9sbkhMcaPQwhfOpZGPkmSJEna\nlVQKUozxXuDeDM67J5MxSZIkScoFvyhWkiRJkhIWJEmSJElKWJAkSZIkKWFBkiRJkqSEBUmSJEmS\nEhYkSZIkSUpYkCRJkiQpYUGSJEmSpIQFSZIkSZISFiRJkiRJSliQJEmSJClhQZIkSZKkhAVJkiRJ\nkhIWJEmSJElKWJAkSZIkKWFBkiRJkqSEBUmSJEmSEhYkSZIkSUpYkCRJkiQpYUGSJEmSpIQFSZIk\nSZISFiRJkiRJSliQJEmSJClhQZIkSZKkhAVJkiRJkhIWJEmSJElKWJAkSZIkKWFBkiRJkqSEBUmS\nJEmSEhYkSZIkSUpYkCRJkiQpYUGSJEmSpIQFSZIkSZISFiRJkiRJSliQJEmSJClhQZIkSZKkhAVJ\nkiRJkhIWJEmSJElKWJAkSZIkKWFBkiRJkqSEBUmSJEmSEhYkSZIkSUpYkCRJkiQpYUGSJEmSpIQF\nSZIkSZISFiRJkiRJSliQJEmSJClRI82LhxBOAG6IMZ4UQtgLuB5YCOwdY3wg07E0M0qSJEnSJ1Kd\nQYoxTgMKk92ewIoY4x+AY0MITb7CmCRJkiSlLheP2G1O/vdUYF6yvQD4/lcY20EI4dIQQnkIobyi\noiKt3JIkSZL2MLl8B6kYWJtsbwQafoWxHcQYR8QYy2KMZSUlJamGliRJkrTnyGVBqgBqJ9v7Amu+\nwpgkSZIkpS6XBWkKcGSyfSjw7FcYkyRJkqTUpb2K3XeAFiGEI4CxwG9CCBcDM2OMi0IISzMZSzOj\npOpt+XXT8x2h2mpckO8EkiTtflItSDHGvwOfXoXuF585/nEmY5IkSZKUC35RrCRJkiQlLEiSJEmS\nlLAgSZIkSVLCgiRJkiRJCQuSJEmSJCUsSJIkSZKUsCBJkiRJUsKCJEmSJEkJC5IkSZIkJSxIkiRJ\nkpSwIEmSJElSwoIkSZIkSQkLkiRJkiQlLEiSJEmSlLAgSZIkSVLCgiRJkiRJCQuSJEmSJCUsSJIk\nSZKUsCBJkiRJUsKCJEmSJEmJGvkOIElfpOwH++Y7QrX13tR8J5AkaffjDJIkSZIkJZxBkqqB5ddN\nz3eE6ssZJEmSlEMWJEmS9iDPPd8i3xGqrZM6Lcx3BEnVgI/YSZIkSVLCgiRJkiRJCQuSJEmSJCUs\nSJIkSZKUsCBJkiRJUsKCJEmSJEkJC5IkSZIkJSxIkiRJkpTwi2IlSdqDnDRtdb4jVF+d8h1AUnXg\nDJIkSZIkJZxBklStFTz1Tr4jVF8F+Q4gSdLuxxkkSZIkSUpYkCRJkiQpYUGSJEmSpITvIEmq1pYU\n9Mx3BEmStAdxBkmSJEmSEhYkSZIkSUpYkCRJkiQp4TtIypnl103PdwRJkiTpCzmDJEmSJEkJZ5Ck\naqDsB/vmO0K19d7UfCeQtKd47vkW+Y5QbZ3UaWG+I0g54wySJEmSJCUsSJIkSZKU8BE7SZIk4JKn\n78p3hGprSad8J5Byp9oWpBDCtcAqoG6M8Z5859G/z/dsJEnV2ZKCnvmOUI2tz3cAKWeqZUEKIbQH\n6scYbwshXB9COCbGODvfuTLhUtZfwIL0ud6bemK+I0iS9LmaXTc53xGqrSVDTst3BGVZiDHmO8NO\nQgi/BebFGB8MIZwNHBljvOFTxy8FLk12jwDeyENMVS/FwOp8h1BeeQ8IvA+0nfeBwPtAO98DTWOM\nJV/2oWo5g8T2H2Ztsr0RaPjpgzHGEcAIgBBCeYyxLLfxVN14H8h7QOB9oO28DwTeB/rX74Hquopd\nBVA72d4XWJPHLJIkSZL2ENW1IE0Bjky2WwFP5jGLJEmSpD1EtSxIMcaZwMYQwsXAuhjjtC84fUSO\nYql68z6Q94DA+0DbeR8IvA/0L94D1XKRBkmSJEnKh2o5gyRJkiRJ+WBBkiRJkqSEBUmSJEmSEl/L\nghRCKAwh/CKEcN1nxh8PIbwXQhiZr2zKnV3dByGEQ0MI14cQrg0hHJrPfMq9EMJdye8AV77cAyX/\n3V8QQrgy31mUPyGE45LfAytCCIflO49yJ4RwQgjhuWR7rxDCDSGEH4cQLsx3NuXGp++BZP9Hye+D\npSGEeple52tZkGKMG4ByoOCTsRBCW2BYjLFhjPEneQunnNnVfQAMBe4A7gGG5COX8iOEcCDw1+R3\nwMn5zqPcCiG0B+rHGB8EikIIx+Q7k/KmA9AoxtgoxvjPfIdR7iSrHhcmuz2BFTHGPwDHhhCa5C+Z\ncuXT90AIIQAtkn8XNI0xrsv0Ol/LgpTY/Jn9jsCoEMIDIYTau/qAdktV90EIoZDt/yFUxhg3Ac1D\nCDXyF0051gm4PoQwKYRQnO8wyrlTgXnJ9txkX3uYEEIDoBuwKITQOd95lBef/Lvg078TFgDfz08c\n5cEn98ARQPcQwj9CCG2+ygWq/T8eQwi/AD77qNQEYIcWGGO8JYRwO3AzcB3wq9wkVC5keB8UAe9/\nan8rUAKsSDedcu0L7ocWwNXA7UCvXOdSXhUDa5PtjUDDPGZRnsQYVwFtQwiHA4+FEL73Vf5fY+1W\n/J2wh4sx/h0oDSEcD/whhHBEzPD7jap9QYox/nZX4yGEDrs4d2sI4f8Bv087l3Irw/tgDTs+bleb\nzxRp7R4+735I3BFCGJuzMKouKtj+3zzAvmz/faA9VIzxHyGE+4GDgNfynUd54e8EARBjnB5CmMr2\n/yP9fzP5zNf5EbsdJM8Zwvb/CGbkM4vyI3msbmkIoXYIoQBYlrynpD3AJ78DQgj7AK/kOY5ybwpw\nZLLdCnChjj3Qp/4tANsfs5mbryzKu0//TjgUeDaPWZQHn/l9sCzGmFE5gq/BDNKuJO+VtAMODyEU\nxRjXAjNCCC8DbwCj8hpQOfE598H/A34ObAIG5DOfcu6REMJa4K/AsHyHUW7FGGeGEDqGEC4G1iUv\n6mrPc06yiuFE4PkY48Z8B1LuhBC+A7QIIRwBjAV+k/xOmBljXJTfdMqFz9wDPwghdGR7OX7kK10n\nw0fxJEmSJGm3t9s8YidJkiRJ/y4LkiRJkiQlLEiSJEmSlLAgSZIkSVLCgiRJkiRJCQuSJEmSJCUs\nSJIkSZKU+P8MkY/8K3aokwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0f1f5150f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "F.plot(kind='hist', figsize=(14, 8))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Container written to ../../data/pancancer/iref_tcga_expression_filter100_fc.h5\n"
     ]
    }
   ],
   "source": [
    "features = F.as_matrix()\n",
    "feature_names = np.array(['blca', 'brca', 'coad', 'gbm', 'hnsc', 'kirc',\n",
    "                         'laml', 'luad', 'lusc', 'ov', 'read', 'ucec'],\n",
    "                        dtype=object)\n",
    "string_dt = h5py.special_dtype(vlen=str)\n",
    "\n",
    "fname = '../../data/pancancer/iref_tcga_expression_filter{}_{}.h5'.format(max_reads, 'fc' if use_foldchanges else 'fpkm')\n",
    "f = h5py.File(fname, 'w')\n",
    "\n",
    "# add ppi network\n",
    "f.create_dataset('network', data=network, shape=network.shape)\n",
    "\n",
    "# add features\n",
    "f.create_dataset('features', data=features, shape=features.shape)\n",
    "\n",
    "# add gene names (same order as features & network)\n",
    "f.create_dataset('gene_names', data=node_names, dtype=string_dt)\n",
    "# add labels\n",
    "f.create_dataset('y_train', data=y_train, shape=y_train.shape)\n",
    "f.create_dataset('y_test', data=y_test, shape=y_test.shape)\n",
    "if y_val is not None:\n",
    "    f.create_dataset('y_val', data=y_val, shape=y_val.shape)\n",
    "\n",
    "f.create_dataset('mask_train', data=train_mask, shape=train_mask.shape)\n",
    "f.create_dataset('mask_test', data=test_mask, shape=test_mask.shape)\n",
    "if y_val is not None:\n",
    "    f.create_dataset('mask_val', data=val_mask, shape=val_mask.shape)\n",
    "f.create_dataset('feature_names', data=feature_names, dtype=string_dt)\n",
    "\n",
    "f.close()\n",
    "print (\"Container written to {}\".format(fname))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compute Embedding of Sample-Wise Gene Expression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "      <th>9</th>\n",
       "      <th>...</th>\n",
       "      <th>53352</th>\n",
       "      <th>53353</th>\n",
       "      <th>53354</th>\n",
       "      <th>53355</th>\n",
       "      <th>53356</th>\n",
       "      <th>53357</th>\n",
       "      <th>53358</th>\n",
       "      <th>53359</th>\n",
       "      <th>cancertype</th>\n",
       "      <th>sample_type_simple</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <td>ENSG00000242268.2</td>\n",
       "      <td>ENSG00000270112.3</td>\n",
       "      <td>ENSG00000167578.15</td>\n",
       "      <td>ENSG00000273842.1</td>\n",
       "      <td>ENSG00000078237.5</td>\n",
       "      <td>ENSG00000146083.10</td>\n",
       "      <td>ENSG00000225275.4</td>\n",
       "      <td>ENSG00000158486.12</td>\n",
       "      <td>ENSG00000198242.12</td>\n",
       "      <td>ENSG00000259883.1</td>\n",
       "      <td>...</td>\n",
       "      <td>ENSGR0000182162.8</td>\n",
       "      <td>ENSG00000264793.1</td>\n",
       "      <td>ENSG00000226507.1</td>\n",
       "      <td>ENSG00000224551.1</td>\n",
       "      <td>ENSG00000139083.9</td>\n",
       "      <td>ENSG00000279880.1</td>\n",
       "      <td>ENSG00000223496.2</td>\n",
       "      <td>ENSG00000082996.18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz</th>\n",
       "      <td>0.062428</td>\n",
       "      <td>0</td>\n",
       "      <td>4.29504</td>\n",
       "      <td>0</td>\n",
       "      <td>6.53202</td>\n",
       "      <td>16.7663</td>\n",
       "      <td>0</td>\n",
       "      <td>0.211842</td>\n",
       "      <td>106.336</td>\n",
       "      <td>0.201211</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.09031</td>\n",
       "      <td>0.103609</td>\n",
       "      <td>6.10711</td>\n",
       "      <td>28.2344</td>\n",
       "      <td>LUAD</td>\n",
       "      <td>tumor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz</th>\n",
       "      <td>0.0599828</td>\n",
       "      <td>0.0083228</td>\n",
       "      <td>1.47837</td>\n",
       "      <td>0</td>\n",
       "      <td>1.60602</td>\n",
       "      <td>13.1475</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0113871</td>\n",
       "      <td>136.857</td>\n",
       "      <td>0.460309</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0498103</td>\n",
       "      <td>0</td>\n",
       "      <td>3.8023</td>\n",
       "      <td>0.0530937</td>\n",
       "      <td>6.01942</td>\n",
       "      <td>29.4814</td>\n",
       "      <td>KIRC</td>\n",
       "      <td>tumor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.67859</td>\n",
       "      <td>0</td>\n",
       "      <td>5.05888</td>\n",
       "      <td>22.4423</td>\n",
       "      <td>0</td>\n",
       "      <td>0.246391</td>\n",
       "      <td>165.359</td>\n",
       "      <td>0.0678129</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0305753</td>\n",
       "      <td>0</td>\n",
       "      <td>10.2314</td>\n",
       "      <td>0.134437</td>\n",
       "      <td>8.15253</td>\n",
       "      <td>16.8574</td>\n",
       "      <td>COAD</td>\n",
       "      <td>tumor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz</th>\n",
       "      <td>0.113754</td>\n",
       "      <td>0.0063135</td>\n",
       "      <td>0.984695</td>\n",
       "      <td>0</td>\n",
       "      <td>1.96637</td>\n",
       "      <td>9.95442</td>\n",
       "      <td>0</td>\n",
       "      <td>0.00647851</td>\n",
       "      <td>239.213</td>\n",
       "      <td>0.230459</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.76031</td>\n",
       "      <td>0.0226551</td>\n",
       "      <td>6.23805</td>\n",
       "      <td>20.6724</td>\n",
       "      <td>KIRC</td>\n",
       "      <td>tumor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 53362 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                  0  \\\n",
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       "\n",
       "                                                                  1  \\\n",
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       "\n",
       "                                                                   2  \\\n",
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       "\n",
       "                                                                  3  \\\n",
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       "\n",
       "                                                                  4  \\\n",
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       "\n",
       "                                                                   5  \\\n",
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       "\n",
       "                                                                  6  \\\n",
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       "\n",
       "                                                                   7  \\\n",
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       "\n",
       "                                                                   8  \\\n",
       "ID                                                ENSG00000198242.12   \n",
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       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz             239.213   \n",
       "\n",
       "                                                                  9  \\\n",
       "ID                                                ENSG00000259883.1   \n",
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       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz           0.230459   \n",
       "\n",
       "                                                        ...          \\\n",
       "ID                                                      ...           \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz        ...           \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz        ...           \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz        ...           \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz        ...           \n",
       "\n",
       "                                                              53352  \\\n",
       "ID                                                ENSGR0000182162.8   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz                  0   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz                  0   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz                  0   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz                  0   \n",
       "\n",
       "                                                              53353  \\\n",
       "ID                                                ENSG00000264793.1   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz                  0   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz                  0   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz                  0   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz                  0   \n",
       "\n",
       "                                                              53354  \\\n",
       "ID                                                ENSG00000226507.1   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz                  0   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz          0.0498103   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz          0.0305753   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz                  0   \n",
       "\n",
       "                                                              53355  \\\n",
       "ID                                                ENSG00000224551.1   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz                  0   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz                  0   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz                  0   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz                  0   \n",
       "\n",
       "                                                              53356  \\\n",
       "ID                                                ENSG00000139083.9   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz            9.09031   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz             3.8023   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz            10.2314   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz            4.76031   \n",
       "\n",
       "                                                              53357  \\\n",
       "ID                                                ENSG00000279880.1   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz           0.103609   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz          0.0530937   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz           0.134437   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz          0.0226551   \n",
       "\n",
       "                                                              53358  \\\n",
       "ID                                                ENSG00000223496.2   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz            6.10711   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz            6.01942   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz            8.15253   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz            6.23805   \n",
       "\n",
       "                                                               53359  \\\n",
       "ID                                                ENSG00000082996.18   \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz             28.2344   \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz             29.4814   \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz             16.8574   \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz             20.6724   \n",
       "\n",
       "                                                 cancertype sample_type_simple  \n",
       "ID                                                      NaN                NaN  \n",
       "6449f2b6-1af9-4612-abde-ac0f5bb1ff7e.FPKM.txt.gz       LUAD              tumor  \n",
       "d7e7ad52-ecde-4744-b4e7-28dea4d186da.FPKM.txt.gz       KIRC              tumor  \n",
       "b57f69a6-91ca-4131-a654-5495f6dd1131.FPKM.txt.gz       COAD              tumor  \n",
       "591271df-af96-4915-9e17-e3362bb7f57d.FPKM.txt.gz       KIRC              tumor  \n",
       "\n",
       "[5 rows x 53362 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "samples_with_ctype.drop('ID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "embedding = TSNE(n_components=2).fit_transform(samples_with_ctype.drop(['cancertype', 'sample_type_simple'], axis=1).drop('ID'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CH5jbHc0P8X3CvXA+2+KDB/1MNjd1+L7a1kTLcviaSOPRshJwbpx2fAHwnMTy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wWDR5pJBDMFo2H/2L0zjaf33YqfPfgpPL3v1sALUFEvwymNp8Uy5qQ/crLu0Bdv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\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fTKwfe3qaqk80Wb6xObS2pHWdJMapTwCaZcKyVUrVgwCoHpmIL1bEF28rVpO7mXO3q+s2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\nbdtNKmtjuZKQrlEXMbBSORzPgBa4DWtMnWve2TZueux0tCgoFKmH0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4G8yCEgcA5VSoH0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\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2llgg7PlzjYV0htJWcI6qSXOdiCha7lrMrgtzYCAzynn458ta+NkLR9CE10cw57h0JXKs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\niIiIiIgUGQXtREREREREREREisz/B/vKI6g36QyOAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f0dc41131d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "long = pd.DataFrame(embedding, columns=['pc1', 'pc2'], index=samples_with_ctype.drop('ID').index)\n",
    "long['cancertype'] = samples_with_ctype.cancertype\n",
    "long['sampletype'] = samples_with_ctype.sample_type_simple\n",
    "tumor_long = long[long.sampletype == 'tumor']\n",
    "g = seaborn.lmplot(x='pc1', y='pc2', data=long, hue='sampletype', fit_reg=False, legend=False)\n",
    "g.fig.set_size_inches(20, 12)\n",
    "g.ax.set_xlabel('Component 1', fontsize=25)\n",
    "g.ax.set_ylabel('Component 2', fontsize=25)\n",
    "g.ax.legend(loc='lower right', fontsize=15, title='Cancer Type')\n",
    "plt.setp(g.ax.get_legend().get_title(), fontsize=20)\n",
    "plt.title('T-SNE Embedding of Gene Expression for Samples', fontsize=30)\n",
    "g.fig.savefig('../../data/pancancer/TCGA/expression/tsne_geneexpression_tumor_vs_normal.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BLCA</th>\n",
       "      <th>BRCA</th>\n",
       "      <th>COAD</th>\n",
       "      <th>GBM</th>\n",
       "      <th>HNSC</th>\n",
       "      <th>KIRC</th>\n",
       "      <th>LAML</th>\n",
       "      <th>LUAD</th>\n",
       "      <th>LUSC</th>\n",
       "      <th>OV</th>\n",
       "      <th>READ</th>\n",
       "      <th>UCEC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>MYOC</th>\n",
       "      <td>-5.272242</td>\n",
       "      <td>-3.464976</td>\n",
       "      <td>-4.709007</td>\n",
       "      <td>0.575686</td>\n",
       "      <td>-6.104471</td>\n",
       "      <td>1.041595</td>\n",
       "      <td>-7.559433</td>\n",
       "      <td>-4.366922</td>\n",
       "      <td>-3.11447</td>\n",
       "      <td>-3.583015</td>\n",
       "      <td>-4.941725</td>\n",
       "      <td>-1.012455</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          BLCA      BRCA      COAD       GBM      HNSC      KIRC      LAML  \\\n",
       "MYOC -5.272242 -3.464976 -4.709007  0.575686 -6.104471  1.041595 -7.559433   \n",
       "\n",
       "          LUAD     LUSC        OV      READ      UCEC  \n",
       "MYOC -4.366922 -3.11447 -3.583015 -4.941725 -1.012455  "
      ]
     },
     "execution_count": 364,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "F[F.index == 'MYOC']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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